Most video surveillance suspect investigation systems rely on the videos taken in different
camera views. Actually, besides the videos, in the investigation process, investigators also …

People search based on attributes description presents a paramount task for several
forensics and surveillance applications. The aim is to locate a suspect or to find a missing …

An incremental attribute discovery method for person re-identification is proposed in this
paper. Recent studies have shown the effectiveness of the attribute-based approach …

Person re-identification has become a hot research topic due to its importance in
surveillance and forensics applications. The purpose is to find the same person from disjoint …

The real world is mostly a connected data and better be modeled as graph models.
Therefore, graph databases are also gaining much attention. To get some advantages of …

Person re-identification consists in recognizing the same person across non-overlapping
camera views at different times and locations. It presents an important yet challenging task …

Using semantic attributes such as gender, clothes, and accessories to describe people's
appearance is an appealing modeling method for video surveillance applications. We …

Person re-identification is an important video analysis problem that aims to track people over
non-overlapping views in a large camera network. The purpose is to find the same person …

People search based on semantic attributes presents an important task for several
surveillance applications. The aim is to locate a suspect or to find a missing person in public …

Person re-identification is a problem of recognising and associating persons across different
cameras. Existing methods usually take visual appearance features to address this issue …